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I want to comment on the news of the Presidential Economic Coordination Council (PECC) and we will be addressing the sub...
05/07/2024

I want to comment on the news of the Presidential Economic Coordination Council (PECC) and we will be addressing the subject matter from the political economy perspective because as José Saramago rightly wrote:

"It is economic power that determines political power, and governments become the political functionaries of economic power."
I am motivated to comment on the above subject matter and from the perspective chosen because of the incessant fire-brigade approach to economic policy in Nigeria which has often than not been dead on arrival without meaningful improvement to challenges aimed to address; and secondly, to explore the continuous coordinated exploitation and manipulation of Nigerians by those wielding political and economic power.

The above is evidently true as Saramago's statement suggests, that those who hold economic power (such as wealthy individuals, corporations, and financial institutions) ultimately control political power. Governments and political leaders, according to this view, act in ways that serve the interests of these economically powerful entities rather than the broader public.

This idea implies that economic interests shape political decisions, policies, and governance structures, making governments subservient to those with significant economic influence.

To continue with our political and economic explanations of the rational and composition of the PECC, I want to clearly state my assumptions:

1. As Karl Marx postulated, the transformation of every society is caused by class struggle.
2. Class struggle will lead to changes in economic structure and functionality.
3. Though the oppressed should seize power, the advanced bourgeoisie and political and economic gladiators will enter a symbiotic contractual relationship to compensate their losses that might arises from the revolution of the masses.
4. The masses are not therefore from the above (3) not needed to be part of the negotiations but are considered as producers to be exploited.
5. Consequently, the goals of the masses and the powerful political and economic actors are parallel and often conflicting. For example, while one party advocates for increasing capital stock, the other fights for “minimum wage.”
6. Finally, my comments will be based on eliciting critical questions from the news article read for reflection.

Economic indicators such as exchange rate, high inflation rate, high unemployment rate, national insecurity, worsening balance of trade, and low foreign direct investment with the often highlighted policies have often led to the suffocation and termination of many start-ups and established domestic industries due to their inability to compete with their foreign counterparts enjoying tax and tariff waivers and total profit repatriation incentives.

The statement by Aliko Dangote, Chairman of the Dangote Group, on behalf of the organized private sector in the PECC, claiming that “the Nigerian economy can be turned around in a few months” reflects the joy of being privy to the general economic policy direction.

This position will allow him and his allies in the PECC to strategically position their conglomerates for long-term benefits, and this is true for all the capitalists and financiers in the PECC, including Tony Elumelu, Abdulsamad Rabiu, Amina Maina, Begun Ajayi-Kadir, Funke Okpeke, Doyin Salami, Patrick Okigbo, Kola Adesina, Segun Agbaje, Chidi Ajaere, Abdulkadir Aliu, and Rasheed Sarumi.

You may ask why them? But, I will ask why not them, from our exposition above, it has to be them because:

"It is economic power that determines political power, and governments become the political functionaries of economic power."

The earlier we know that, the president (and executive members) and these individual capitalists are collaborating to secure their interests, possibly because their foreign investments and assets have been devalued and needing resuscitation as the result of the spiral naira/dollar exchange rate, the earlier we start expecting the imminent phase of economic hardship because as rightly put by

Adam Smith:
“It is not from the benevolence of the butcher, the brewer, or the baker that we expect our dinner, but from their regard to their own self-interest. We address ourselves not to their humanity but to their self-love, and never talk to them of our own necessities, but of their advantages.”

One might argue that they too are affected by the current economic hardship, but theirs differs because they have the power to enact corrections that will benefit them during such times.
For instance, with interest rates of over 30%, no investor would take a loan if he discovers that, most profits would go towards servicing it. But from the current arrangement and composition of the PECC bankers and industrialists within the PECC can thus negotiate terms that favour them after eliminating ordinary investors from negotiations table to put into work the initially idle capital (money) owned by them because of the low demand barrowing resulting from the high cost of borrowing (interest rate).

This is why, in both lean and prosperous times, capitalists and politicians with real power will always favour their interests. Dangote’s statement that “the public (government) and private sectors would work together to revamp the economy” implicitly reveals this.

By advising the government on necessary policies, they position themselves as overseers of public resources to serve their interest and accumulate more capital.
His statement continued by saying that “Our economy can be turned around in a few months. Things will soon change. We will work to make sure that things change for the better” raises the question:

for whom? Such changes will no doubt benefit those with capital and established industries needing variable inputs, with fixed inputs already on hand, allowing them to absorb current costs at diminished marginal production levels.

One may take this as frivolous statement or the usual propaganda by the rather unfortunate masses by saying that they will create jobs, jobs that machines have taken off the populace? Or is it the crude oil that little is done by labour to extract? Who make the crude oil? And compare the question with that of who plants and extracts the rubber from rubber trees?

Dangote's call for policies to protect domestic industries at the Manufacturers Association of Nigeria (MAN) summit is a call for a restrictive economy to benefit them, especially, following the neo-liberal economic policies that Nigeria has pursued over the years. Please, do not misinterpret me to be supporting either of opened, closed or any in between the two.

The point I am making here is that, after the restrictive economic policy to favour the domestic capitalists’ accumulation of more capital lost to the previous opened policy, the government will in no time revert to opening up the economy to please the IMF and World Bank. I strongly feel, it is this back and forth policy changes motivated by politics of the economy by incumbents as always that have been the challenge.

This is not justifiable, it is totally irrational in the public policy analysis arena, because as agreed policy inconsistences is worse than no policies at all.

As co-owners of multinational companies, they benefit in any way. They only "rescue" the economy when their losses in one area outweigh their gains in another as clearly put by Adam Smith in his Wealth of Nation quoted above.

Going back to Dangote’s statement that, “Import dependence is equivalent to importing poverty and exporting jobs. No power, no growth, no prosperity; similarly, no affordable financing, no growth, no prosperity. There is no industrialization without protection.” reflects the current reality these people are confronted with unlike the food concerns of the masses.

Which is why we should not expect anything positive from their intervention which is clearly to generate power, have access to finance and intensify the level of their industrial capacities. To put it in more obvious term, nowhere is “…for the people” mentioned in his statement.

Consider this: How many industries do we have? How many bakeries are owned by Nigerians, apart from those owned by Chinese and Indians? How many Nigerians own a civil construction company like Julius Berger or textile factories, if any exist?

Likely none, apart from the members of the PECC and their clique.

By: Dan-Abu Michael Ngbede

The second annual Youth in Evaluation (YiE) Week 2024 between (8th - 12th, July) will bring together young and senior ev...
23/06/2024

The second annual Youth in Evaluation (YiE) Week 2024 between (8th - 12th, July) will bring together young and senior evaluation professionals globally to promote meaningful youth engagement in evaluation. Aligned with the UN Summit of the Future 2024, the event will features over 50 virtual, in-person, and hybrid events in ten languages across all regions.

The event will build on the Youth in Evaluation manifesto and standards, focusing on their adoption within the evaluation community. It will also honour Youth in Evaluation champions based on their self-reporting on these standards.

The overarching theme for Youth in Evaluation week 2024 is ‘Upholding Youth in Evaluation standards’.
The events during the week will explore six dimensions of the standards for advancing intergenerational partnerships in evaluation:
🙌Leadership & accountability
🎯Evaluation practice
📣Advocacy & capacity
📡Knowledge & communication
🗂️Human resources
🏛️Financial resources
This event aims to strengthen intergenerational solidarity in evaluation.
UNFPA

For more information and to get involved, visit:
Program outline: https://lnkd.in/dFAT2s9x
Registration form: https://lnkd.in/dVRdy3et

05/10/2023
We have had more likes through our page last year. "Thank you" to all of our blogs, websites, Facebook group me...
03/01/2020

We have had more likes through our page last year. "Thank you" to all of our blogs, websites, Facebook group members and pages ollowers for you support...Thank you everyone..!!!

A Big Thank you to everyone for Liking us, Commenting & encouraging us at ECOINFO BLOG, DATA ORACLE CONSULT, DAN PRONTO ORGANIZATION and EZINE ARTICLE.

Your support keep us going. Thanks again..!!!

Warm Regards and a prosperous New Year wishes.

Dan-Abu Michael Ngbede

PYTHON IS FOR ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING(ML)In our last post we discussed about 4 reasons why Pyth...
12/07/2019

PYTHON IS FOR ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING(ML)

In our last post we discussed about 4 reasons why Python programming language is the best for AI and ML.

The listed reasons ranges from the fact that it has great library ecosystem, low entry barrier since new beginners can always leverage on the large collections of libraries, it flexibility with regards to areas of application and platform independence i.e Pythons ability to run on MacOs, Linux or Windows.

Other reasons are:

v. Readability
Python is very easy to read so every Python developer can understand the code of their peers and change, copy or share it. There’s no confusion, errors or conflicting paradigms, and this leads to more a efficient exchange of algorithms, ideas, and tools between AI and ML professionals.

There are also tools like IPython available, which is an interactive shell that provides extra features like testing, debugging, tab-completion, and others, and facilitates the work process.

vi. Good visualization options
We’ve already mentioned that Python offers a variety of libraries, and some of them are great visualization tools.

However, for AI developers, it’s important to highlight that in artificial intelligence, deep learning, and machine learning, it’s vital to be able to represent data in a human-readable format.

vii. Community support
It’s always very helpful when there’s strong community support built around a programming language.

Python is an open-source language which means that there’s a bunch of resources open for programmers starting from beginners and ending with pros for free.

A lot of Python documentation is available online as well as in Python communities and forums, where programmers and machine learning developers discuss errors, solve problems, and help each other out for free.

Python programming language is absolutely free as is the variety of useful libraries and tools.

viii. Growing popularity
As a result of the advantages discussed above, Python is becoming more and more popular among data scientists. According to StackOverflow, the popularity of Python is predicted to grow until 2020, at least.

This means it’s easier to search for developers and replace team players if required. Also, the cost of their work maybe not as high as when using a less popular programming language.

Python use cases for AI and ML
Python offers many features that are helpful for AI and ML in particular, and that makes it the best language for these purposes. No wonder that various industries use Python for predictions and other machine learning tasks.

In our next post, we shall take a closer look at some specific examples of application of Python.

We will also cite examples of companies using them in those areas where applicable.

Funny Data Analyst's JokeThree data analyst took time off from their job to cool off and  went hunting, and came across ...
12/07/2019

Funny Data Analyst's Joke

Three data analyst took time off from their job to cool off and went hunting, and came across a large deer.

The first analyst fired at the deer but missed, by a meter to the left.

The second analyst fired his shot, but also missed, by a meter to the right.

The third data analyst didn’t fire at the still standing deer but shouted in triumph, “On the average we got it!”

WHY PYTHON IS THE BEST PROGRAMMING LANGUAGE FOR ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING(ML)As Artificial Intell...
08/07/2019

WHY PYTHON IS THE BEST PROGRAMMING LANGUAGE FOR ARTIFICIAL INTELLIGENCE(AI) AND MACHINE LEARNING(ML)

As Artificial Intelligence(AI) and Machine Learning(ML) are being applied across various channels and industries, big corporations invest in these fields, and the demand for experts in ML and AI grows accordingly.

But, there a reasons why Python is the most popular language used by expert for AI and ML ranging from Python having:

i. A great library ecosystem

A library is a module or a group of modules published by different sources like PyPi which include a pre-written piece of code that allows users to reach some functionality or perform different actions.

A great choice of libraries is one of the main reasons Python is the most popular programming language used for AI.

Python libraries provide base level items so developers don’t have to code them from the very beginning every time.

ML requires continuous data processing, and Python’s libraries let you access, handle and transform data. These are some of the most widespread libraries you can use for ML and AI:

Scikit-learn for handling basic ML algorithms like clustering, linear and logistic regressions, regression, classification, and others.

Pandas for high-level data structures and analysis. It allows merging and filtering of data, as well as gathering it from other external sources like Excel, for instance.

Keras for deep learning. It allows fast calculations and prototyping, as it uses the GPU in addition to the CPU of the computer.

TensorFlow for working with deep learning by setting up, training, and utilizing artificial neural networks with massive datasets.

Matplotlib for creating 2D plots, histograms, charts, and other forms of visualization.

NLTK for working with computational linguistics, natural language recognition, and processing.

Scikit-image for image processing.

PyBrain for neural networks, unsupervised and reinforcement learning.
Caffe for deep learning that allows switching between the CPU and the GPU and processing 60+ mln images a day using a single NVIDIA K40 GPU.

StatsModels for statistical algorithms and data exploration.
In the PyPI repository, you can discover and compare more Python libraries.

ii. A low entry barrier
Working in the ML and AI industry means dealing with a bunch of data that you need to process in the most convenient and effective way.

The low entry barrier allows more data scientists to quickly pick up Python and start using it for AI development without wasting too much effort into learning the language.

Python programming language resembles the everyday English language, and that makes the process of learning easier.

Its simple syntax allows you to comfortably work with complex systems, ensuring сlear relations between the system elements.

For instance, this code is written in an attempt to print even numbers between 0 and 20.

Here’s the view in Python code:

for i in range(20):
if i % 2 == 0:
print(i)

For interger (i) in range 0-20, if the remainder of the divided by 2 is equal to 0 (i % 2 == 0) then the number must be even number, print it out.

It is very easy for an English-speaking person to understand this code.

In addition to this, there’s a lot of documentation available, and Python’s community is always there to help out and give advice.

iii. Flexibility
Python for machine learning is a great choice, as this language is very flexible:

It offers an option to choose either to use Object Oriented Programming(OOP) or scripting.

There’s also no need to recompile the source code, developers can implement any changes and quickly see the results.

Programmers can combine Python and other languages to reach their goals.

Moreover, flexibility allows developers to choose the programming styles which they are fully comfortable with or even combine these styles to solve different types of problems in the most efficient way.

The imperative style consists of commands that describe how a computer should perform these commands. With this style, you define the sequence of computations which happen as a change of the program state.

The functional style is also called declarative because it declares what operations should be performed. It doesn’t consider the program state, compared to the imperative style, it declares statements in the form of mathematical equations.

The object-oriented style is based on two concepts: class and object, where similar objects form classes.

The procedural style is the most common among beginners, as it proceeds tasks in a step-by-step format. It’s often used for sequencing, iteration, modularization, and selection.

The flexibility factor decreases the possibility of errors, as programmers have a chance to take the situation under control and work in a comfortable environment.

iv. Platform independence
Python is not only comfortable to use and easy to learn but also very versatile. What I mean here is that Python for machine learning development can run on any platform including Windows, MacOS, Linux, Unix, and twenty-one others.

To transfer the process from one platform to another, developers need to implement several small-scale changes and modify some lines of code to create an executable form of code for the chosen platform.

Developers can use packages like PyInstaller to prepare their code for running on different platforms.

Again, this saves time and money for tests on various platforms and makes the overall process more simple and convenient.

There are more reasons than these which we will talk about subsequently.

Big Data is big business and it will keep getting bigger
04/07/2019

Big Data is big business and it will keep getting bigger

In this contributed article, freelance human Avery Phillips takes a look at how the examination company data can contribute to business growth. Data analytics are providing benefits to businesses from the beginning of a startup, facilitating expansive growth, and exploding them into large, formidabl...

03/07/2019

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